| Name | FRMD6 antisense RNA 2 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n FRMD6‐AS2 is an emerging long non‐coding RNA with diverse tumor‐suppressive and prognostic roles in several disease settings. In uterine corpus endometrial cancer, for example, FRMD6‐AS2 is down‐regulated in tumor tissues and its over‐expression suppresses tumor growth, migration, and invasion by inducing the Hippo signaling pathway and elevating the expression of its neighboring gene FRMD6 through chromatin looping mechanisms."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In prostate adenocarcinoma, FRMD6‐AS2 has been identified as part of a five–immune‐related lncRNA signature that can independently predict overall survival, suggesting that it may contribute to the immune regulatory landscape of the tumor."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " Similarly, integrative network analyses in colorectal cancer have incorporated FRMD6‐AS2 within a prognostic ceRNA signature related to microbiota‐mediated carcinogenesis, further underscoring its potential regulatory roles in metabolic processes and cancer progression."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " Moreover, in the context of diabetic retinopathy, studies have shown that FRMD6‐AS2 is significantly down‐regulated in patient samples, hinting at its involvement in the complex regulatory networks that modulate oxidative stress, inflammation, and neovascularization."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": "\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Jing Wang, Zenghui Li, Xiuli Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The tumor suppressive effect of long non-coding RNA FRMD6-AS2 in uteri corpus endometrial carcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Life Sci (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.lfs.2020.117254"}], "href": "https://doi.org/10.1016/j.lfs.2020.117254"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31917993"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31917993"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Linghui Liang, Wei Xia, Liangyu Yao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Long non-coding RNA profile study identifies an immune-related lncRNA prognostic signature for prostate adenocarcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Int Immunopharmacol (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.intimp.2021.108267"}], "href": "https://doi.org/10.1016/j.intimp.2021.108267"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34740081"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34740081"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Xiangzhou Tan, Linfeng Mao, Changhao Huang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Comprehensive analysis of lncRNA-miRNA-mRNA regulatory networks for microbiota-mediated colorectal cancer associated with immune cell infiltration."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Bioengineered (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1080/21655979.2021.1940614"}], "href": "https://doi.org/10.1080/21655979.2021.1940614"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34227920"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34227920"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Jun Shao, Yunbin Zhang, Guangming Fan, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Transcriptome analysis identified a novel 3-LncRNA regulatory network of transthyretin attenuating glucose induced hRECs dysfunction in diabetic retinopathy."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "BMC Med Genomics (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/s12920-019-0596-2"}], "href": "https://doi.org/10.1186/s12920-019-0596-2"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31615521"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31615521"}]}]}]}
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| NCBI Gene ID | 100874185 |
| API | |
| Download Associations | |
| Predicted Functions |
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| Co-expressed Genes |
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| Expression in Tissues and Cell Lines |
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FRMD6-AS2 has 172 functional associations with biological entities spanning 2 categories (cell line, cell type or tissue, gene, protein or microRNA) extracted from 6 datasets.
Click the + buttons to view associations for FRMD6-AS2 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of FRMD6-AS2 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of FRMD6-AS2 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of FRMD6-AS2 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of FRMD6-AS2 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of FRMD6-AS2 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles | cell types and tissues with high or low DNA methylation of FRMD6-AS2 gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset. | |